Bistatic fixed-receiver parasitic SAR processor based on the back-propagation algorithm

Sanz-Marcos, J.; Prats, Pau; Mallorquí, J.J.

doi:10.1109/igarss.2005.1525296

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…Apart from the azimuth aliasing problem, the spatial variances of GTLR-BiSAR data need to be solved. For the GTLR-BiSAR system, the time-varying relative positions of the GEO transmitter and LEO receivers bring about the following inconvenience: the targets with the same minimal bistatic ranges, but different azimuth positions, have different range cell migrations (RCMs) and different Doppler frequency modulation (FM) rates [11,22]. This is because the targets confined in the same minimal range gate differ from each other in the minimal LEO range.…”

Section: Introductionmentioning

confidence: 99%

A Unified Algorithm for the Sliding Spotlight and TOPS Modes Data Processing in Bistatic Configuration of the Geostationary Transmitter with LEO Receivers

et al. 2022

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This paper deals with the imaging problem for sliding spotlight (SS) and terrain observation by progressive scan (TOPS) modes in bistatic configuration of the geostationary (GEO) transmitter with a low earth orbit satellite (LEO) receiver, named GTLR-BiSAR system. A unified imaging algorithm is proposed to process the GTLR-BiSAR data acquired in SS or TOPS modes. Our main contributions include four aspects. Firstly, the imaging geometry of this novel configuration is described in detail. Furthermore, the GTLR-BiSAR signal expressions were deduced in both time and frequency domains. These signal expressions provide great support for the design of processing the algorithm theoretically. Secondly, we present a unified deramping-based technique according to the special geometry of GTLR-BiSAR to overcome the azimuth spectrum aliasing phenomenon, which typically affects SS and TOPS data. Thirdly, the spatial variance of GTLR-BiSAR data were thoroughly analyzed based on the range-Doppler (RD) geolocation functions. On the basis of a former analysis, we put forward the azimuth variance correction strategy and modified the conventional chirp scaling function to solve the range variance problem. Finally, we completed the derivation of the two-dimensional spectrum after the range chirp scaling. On the basis of spectrum expressions, we compensated for the quadratic and residue phase, and the azimuth compression was completed by SPECAN operation. In addition, we provide a flow diagram to visually exhibit the processing procedures. At the end of this paper, the simulation and real data experiment results are presented to validate the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

A Unified Algorithm for the Sliding Spotlight and TOPS Modes Data Processing in Bistatic Configuration of the Geostationary Transmitter with LEO Receivers

et al. 2022

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“…However, as the relative position of the transmitter and receiver in this configuration changes with time, and the Range Cell Migration (RCM) and Doppler FM rate only depend on the moving station, so imaging for this kind of BiSAR is rather different from monostatic SAR and other bistatic configurations. Existing algorithms in wavenumber domain [4]- [5] mostly suit for the translational invariant configuration and cannot be used in one-stationary case. The back-projection (BP) algorithm [6] can serve most cases, but its low efficiency makes it not a good choice.…”

Section: Introductionmentioning

confidence: 99%

Non-linear chirp scaling algorithm for one-stationary bistatic SAR

Qiu

Ding

2007

2007 1st Asian and Pacific Conference on Synthetic Aperture Radar

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This paper points out the non-linear property of the differential RCM along range direction in onestationary bistatic SAR, and compares it with the monostatic case. Then it deduces out a non-linear chirp scaling factor to identify the RCM of all targets in the swath. The implementary processes of a non-linear chirp scaling algorithm for one-stationary bistatic SAR are then described detailedly. Finally, the simulating results present here validate the correctness of the algorithm.

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“…This BiSAR not only inherits the advantage of the general BiSAR system, but also is relatively easy to build and implement imaging, so it has gained wide attention these years [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…One‐stationary bistatic synthetic aperture radar (OS‐BiSAR) is an azimuth‐variant bistatic SAR (BiSAR) system, which has a moving transmitter (or receiver) and a stationary receiver (or transmitter) fixed at the top of a high tower or mountain. This BiSAR not only inherits the advantage of the general BiSAR system, but also is relatively easy to build and implement imaging, so it has gained wide attention these years [1–7].…”

Section: Introductionmentioning

confidence: 99%

“…However, there are some approximations of handling azimuth variance and range–azimuth coupling in the NLCSA and its modifications, so they are not suitable for the high‐precision imaging of one‐stationary bistatic VHF/UHF UWB SAR [20]. One natural solution to accurately manage the azimuth variance of RCMs, serious range–azimuth coupling and large motion errors for this BiSAR is focusing in time domain using backprojection algorithm (BPA) [7].…”

Section: Introductionmentioning

confidence: 99%

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Fast factorised backprojection algorithm in elliptical polar coordinate for one‐stationary bistatic very high frequency/ultrahigh frequency ultra‐wideband synthetic aperture radar with arbitrary motion

Xie

Huang

et al. 2014

IET Radar, Sonar & Navigation

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The precise disposal of azimuth variance of range cell migrations and motion errors in the one-stationary bistatic very high frequency/ultrahigh frequency ultra-wideband synthetic aperture radar imaging is a real challenge for efficient frequencydomain algorithms, but can be precisely managed by time-domain approaches. In this study, a novel bistatic fast factorised backprojection (BFFBP) algorithm is presented, which can deal with these two effects accurately and achieve the computational performance in parity with frequency-domain algorithms. First, the imaging geometry with arbitrary motion in elliptical polar coordinate is provided, and the analytical expression of the bistatic backprojection algorithm in this coordinate system is derived, which provides a theory basis for the proposed algorithm. Then, based on the subaperture imaging geometry, the sampling requirements considering motion errors is deduced, which offers the optimal tradeoff between the imaging quality and computational speed. The advantage of using elliptical polar coordinate system for implementing the BFFBP algorithm is analysed. Finally, the implementation and computational burden of the BFFBP algorithm are discussed. Simulation results are shown to prove the correctness of the theory analysis and validity of the proposed approach.

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Bistatic fixed-receiver parasitic SAR processor based on the back-propagation algorithm

Cited by 13 publications

References 4 publications

A Unified Algorithm for the Sliding Spotlight and TOPS Modes Data Processing in Bistatic Configuration of the Geostationary Transmitter with LEO Receivers

A Unified Algorithm for the Sliding Spotlight and TOPS Modes Data Processing in Bistatic Configuration of the Geostationary Transmitter with LEO Receivers

Non-linear chirp scaling algorithm for one-stationary bistatic SAR

Fast factorised backprojection algorithm in elliptical polar coordinate for one‐stationary bistatic very high frequency/ultrahigh frequency ultra‐wideband synthetic aperture radar with arbitrary motion

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